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Relevant bibliographies by topics / Flow regime identification

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Academic literature on the topic 'Flow regime identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Flow regime identification"

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van der Spek, Alex, and Alix Thomas. "Neural-Net Identification of Flow Regime With Band Spectra of Flow-Generated Sound." SPE Reservoir Evaluation & Engineering 2, no. 06 (1999): 489–98. http://dx.doi.org/10.2118/59067-pa.

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Summary Multiphase production log interpretation requires that the flow regime along hole in the wellbore is known. Flow regime is the cased-hole analog of lithology. Knowledge of the flow regime will help to interpret tool signals, will help to evaluate the flow rate on a per phase basis, and will reduce post-processing load. The flow regime can be classified correctly by a neural net in up to 87% of all cases using 1/3 octave band spectra of flow-generated sound plus the pipe inclination angle. Without the inclination an 88% correct classification can be achieved. A neural net trained on com

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Phung, Viet-Anh, and Pavel Kudinov. "Prediction of Flow Regimes and Thermal Hydraulic Parameters in Two-Phase Natural Circulation by RELAP5 and TRACE Codes." Science and Technology of Nuclear Installations 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/296317.

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In earlier study we have demonstrated that RELAP5 can predict flow instability parameters (flow rate, oscillation period, temperature, and pressure) in single channel tests in CIRCUS-IV facility. The main goals of this work are to (i) validate RELAP5 and TRACE capabilities in prediction of two-phase flow instability and flow regimes and (ii) assess the effect of improvement in flow regime identification on code predictions. Most of the results of RELAP5 and TRACE calculation are in reasonable agreement with experimental data from CIRCUS-IV. However, both codes misidentified instantaneous flow

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Wang, Qiang. "Intelligent Identification of Flow Regime Based on Improved BP and IMFs." Advanced Materials Research 816-817 (September 2013): 471–74. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.471.

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Aimed at the characteristic of nonlinear and non-stationary of pressure drop, in this article a flow regime identification soft sensing method using Hilbert-Huang transformation combined with improved BP neural network is put forward. The method analyzes the intrinsic mode function (IMFs) obtained after the empirical mode decomposition (EMD), then extracts IMF energy as the characteristic vector of an improved BP neural network with self-adapted learning ratio. Learning form training samples, the network could accomplish the objective identification of the unknown flow regimes. The simulated r

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Hua, Chen Quan, and Yan Feng Geng. "Wet Gas Flow Regime Identification Based on WPT and PNN." Applied Mechanics and Materials 58-60 (June 2011): 262–67. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.262.

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A novel noninvasive approach to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted, with the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a vibration transducer installed by outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted t

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Wang, Qiang, and Li Jing Ren. "Intelligent Identification Based on Wavelet Packet Decomposition and Adaptive Particle Swarm Optimization SVM." Applied Mechanics and Materials 380-384 (August 2013): 4043–46. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4043.

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In this paper, a new Intelligent Identification method based on wavelet packet decomposition and APSO-SVM was put forward. As is known the characteristic of pressure drop is nonlinear and non-stationary. The wavelet packet transform can decompose signals to different frequency bands according to any time frequency resolution ratio, the features are extracted from the differential pressure fluctuation signals of the air-water two-phase flow in the horizontal pipe and the wavelet packet energy features of various flow regimes are obtained. The adaptive particle swarm ptimization support vector m

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Hua, Chen Quan, Hua Wei Pan, Yan Feng Geng, and Lan Chang Xing. "Flow Regime Identification for Wet Gas Flow Based on Kurtosis Feature of Flow-Induced Pipeline Vibration." Applied Mechanics and Materials 527 (February 2014): 49–52. http://dx.doi.org/10.4028/www.scientific.net/amm.527.49.

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Flow-induced vibration occurs widely in flow pipelines, and pipeline vibration signals have various frequency characteristics corresponding to different flow regimes. Therefore, an novel noninvasive approach to flow regime identification for wet gas flow in a horizontal pipeline is presented in this paper. The vibration signals were collected by a transducer installed on external wall of pipeline. Empirical mode decomposition (EMD) was used to decompose the vibration signal into different intrinsic mode functions (IMFs), and then the kurtosis of each IMF component for each experimental data wa

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Liebenberg, Leon, John R. Thome, and Josua P. Meyer. "Flow Visualization and Flow Pattern Identification With Power Spectral Density Distributions of Pressure Traces During Refrigerant Condensation in Smooth and Microfin Tubes." Journal of Heat Transfer 127, no. 3 (2005): 209–20. http://dx.doi.org/10.1115/1.1857942.

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This paper presents a flow pattern identifier of the prevailing flow regime during refrigerant condensation inside smooth- and microfin tubes. The power spectral density distribution of the fluctuating condensing pressure signal was used to identify the prevailing flow regime, as opposed to the traditional (and subjective) use of visual-only methods, and/or smooth-tube flow regime maps. The prevailing flow regime was observed by using digital cameras and was validated with the use of the conventional smooth-tube flow regime transition criteria, as well as a new flow regime map for microfin-tub

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Wang, Qiang. "Intelligent Identification of Flow Regime Based on a Novel Neural Network." Applied Mechanics and Materials 635-637 (September 2014): 1715–18. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1715.

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A noveol neural network of Elman is typically dynamic recurrent neural network. A novel method of flow regime identification based on Elman neural network and wavelet packet decomposition is proposed in this paper. Above all, the collected pressure-difference fluctuation signals are decomposed by the four-layer wavelet packet, and the decomposed signals in various frequency bands are obtained within the frequency domain. Then the wavelet packet energy eigenvectors of flow regimes are established. At last the wavelet packet energy eigenvectors are input into Elman neural network and flow regime

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Lee, Jae Young, Nam Seok Kim, and Mamoru Ishii. "Flow regime identification using chaotic characteristics of two-phase flow." Nuclear Engineering and Design 238, no. 4 (2008): 945–57. http://dx.doi.org/10.1016/j.nucengdes.2007.09.005.

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Bidin, Abdul Rahman, Robert G. Green, Mary E. Shackleton, and Richard W. Taylor. "Neural Networks for Flow Regime Identification with dry particulate flow." Particle & Particle Systems Characterization 10, no. 5 (1993): 234–38. http://dx.doi.org/10.1002/ppsc.19930100504.

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Dissertations / Theses on the topic "Flow regime identification"

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Rawes, W. "The application of signal analysis techniques based on chaos theory to flow regime identification." Thesis, Cranfield University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245497.

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Tchowa, Medjiade Willy Baudelaire [Verfasser], and Adrian [Akademischer Betreuer] Schumpe. "Flow Regime Identification in a Bubble Column / Willy Baudelaire Tchowa Medjiade ; Betreuer: Adrian Schumpe." Braunschweig : Technische Universität Braunschweig, 2016. http://d-nb.info/1175818895/34.

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Martinez, Ricardo Diana Marcela 1986. "Identificação da vazão de gás de uma bomba centrífuga em regime de escoamento multifásico através de dados experimentais : Identification of the gas flow of an electric submersible pump under multiphase flow thou experimental data." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265921.

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Orientador: Janito Vaqueiro Ferreira<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-24T20:08:14Z (GMT). No. of bitstreams: 1 MartinezRicardo_DianaMarcela_M.pdf: 3485991 bytes, checksum: 9bd64ce80b2e1c25ed98644d4f52fd64 (MD5) Previous issue date: 2014<br>Resumo: Este trabalho tem como objetivo desenvolver um processo de identificação da vazão de gás em um dos equipamentos usados na indústria petrolífera, às bombas centrífugas submersas (BCS) em regime de escoamento multifásico. Estas bombas apresentam falh

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Giese, Markus [Verfasser], Martin [Akademischer Betreuer] Sauter, Martin [Gutachter] Sauter, and Rudolf [Gutachter] Liedl. "Identification and quantification of the effects of flow regime and matrix-conduit interaction in the characterization of karst aquifers / Markus Giese ; Gutachter: Martin Sauter, Rudolf Liedl ; Betreuer: Martin Sauter." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2018. http://d-nb.info/1154590216/34.

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Xie, Tao. "Hydrodynamic characteristics of gas/liquid/fiber three-phase flows based on objective and minimally-intrusive pressure fluctuation measurements." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-09192004-033703/unrestricted/xie%5Ftao%5F200412%5Fphd.pdf.

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Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2005.<br>D. William Tedder, Committee Member ; Minami Yoda, Committee Member ; Tom McDonough, Committee Member ; Andrei G. Fedorov, Committee Member ; S. Mostafa Ghiaasiaan, Committee Chair ; Seppo Karrila, Committee Member. Includes bibliographical references.

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Briens, Lauren Anne. "Identification of flow regimes in multiphase reactors by time series analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0018/NQ58396.pdf.

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Liu, Shih Yung, and 劉時湧. "Flow Regime Identification and Characteristic Analysis of Wispy Annular Two-Phase Flow." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/e2sfdk.

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碩士<br>國立清華大學<br>工程與系統科學系<br>103<br>The proposed research is about analyzing and identifying different types of upward air-water two-phase flow regimes in the vertical pipe by measuring its pressure signal, differential pressure signal, and electric impedance signal. In addition, our research provides an observation section which is available for photographing and recording for data comparison. Currently, there is lack of a complete method for observing the signal; therefore, we create large database for analyzing the characteristic of each flow regimes. We want to have a unified and objective

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Cheng, Yen-Shih, and 鄭延釋. "Flow Regime Identification and Characteristic Analysis of Dispersed Bubbly Two-Phase Flow." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/humqq8.

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"A study on flow regime identification in microgravity gas-liquid flows using a capacitance sensor." Thesis, 1997. http://hdl.handle.net/10388/etd-05072009-112054.

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Microgravity two-phase flow is becoming increasingly important in space-based technologies. Research into microgravity two-phase flows, in addition to providing data on the behavior of such flows in a near weightless environment, serves to further research into normal gravity two-phase flow by changing one of the major variables affecting the flow, namely gravity. Gravitational force plays a major role in two-phase flows, and has a great influence on the flow regimes. Depending on the liquid and gas flow rates, the fluid properties, the tube size, and the gravity field, the flow will assume on

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Giese, Markus. "Identification and quantification of the effects of flow regime and matrix-conduit interaction in the characterization of karst aquifers." Doctoral thesis, 2017. http://hdl.handle.net/11858/00-1735-0000-002E-E385-0.

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Books on the topic "Flow regime identification"

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Mehta, Nikhil, and Bulent Arslan. Techniques for Treating Visceral Aneurysms and High-Flow Arteriovenous Malformations of the Renal and Visceral Vasculature. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0028.

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Techniques for treating visceral aneurysms are based on location and anatomic region and also on whether an aneurysm is a true aneurysm or a pseudoaneurysm. Visceral artery aneurysms typically require treatment if they are greater than 2 cm. Aneurysms that are favorable for endovascular therapy include saccular aneurysms preferably with a narrow neck and/or aneurysms that have good collateral blood flow to the target organ. Endovascular techniques for treating arteriovenous malformations (AVMs) are multifaceted and require appropriate identification of the AVM using multiple imaging modalities

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Pusey, Brad, Mark Kennard, and Angela Arthington. Freshwater Fishes of North-Eastern Australia. CSIRO Publishing, 2004. http://dx.doi.org/10.1071/9780643092082.

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Freshwater Fishes of North-Eastern Australia provides details of the ecology, systematics, biogeography and management of 79 species of native fish present in the region. It includes detailed information on their identification, evolutionary history, breeding biology, feeding ecology, movement patterns, macro-, meso- and micro-habitat use, water quality tolerances, conservation status and current threats, as well as environmental flow and management needs. Based on the results of extensive field surveys and a comprehensive review of existing literature, it is designed to assist environme

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Nash, David. Changes in Precipitation Over Southern Africa During Recent Centuries. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.539.

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Precipitation levels in southern Africa exhibit a marked east–west gradient and are characterized by strong seasonality and high interannual variability. Much of the mainland south of 15°S exhibits a semiarid to dry subhumid climate. More than 66 percent of rainfall in the extreme southwest of the subcontinent occurs between April and September. Rainfall in this region—termed the winter rainfall zone (WRZ)—is most commonly associated with the passage of midlatitude frontal systems embedded in the austral westerlies. In contrast, more than 66 percent of mean annual precipitation over much of th

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Book chapters on the topic "Flow regime identification"

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Cai, S., H. Toral, and J. Qiu. "Flow Regime Identification by a Self-Organising Neural Network." In ICANN ’93. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-2063-6_251.

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Tambouratzis, Tatiana, and Imre Pázsit. "Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification." In Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04921-7_43.

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Bin, Sun, and Wang Hong. "Identification Method of Gas-Liquid Two-Phase Flow Regime Based on Wavelet Packet Energy Feature and PNN." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25194-8_71.

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Alfonsi, Giancarlo, and Leonardo Primavera. "Vortex Identification in the Wall Region of Turbulent Channel Flow." In Computational Science – ICCS 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72584-8_2.

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Ran, Qiquan. "Identification of Flow Regimes and Self-adaption Simulation of Complex Flow Mechanisms in Multiple Media with Different-Scale Pores and Fractures." In Unconventional Tight Reservoir Simulation: Theory, Technology and Practice. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9848-4_8.

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Clarkson, Christopher R. "Flow-regime identification." In Unconventional Reservoir Rate-Transient Analysis. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-323-90116-1.00003-9.

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Chaudhry, Amanat U. "Flow Regime Identification and Analysis Using Special Methods." In Oil Well Testing Handbook. Elsevier, 2004. http://dx.doi.org/10.1016/b978-075067706-6/50100-4.

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Enrique Julia, J., Takashi Hibiki, and Mamoru Ishii. "Two-Phase Flow Regime Identification Methodologies in Thermal-Hydraulic Applications." In Advances in Multiphase Flow and Heat Transfer (Volume 1). BENTHAM SCIENCE PUBLISHERS, 2012. http://dx.doi.org/10.2174/978160805080210901010093.

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Zheng, Chong, Boping Yao, and Yuanding Feng. "Flow Regime Identification and Gas Hold-up of Three-phase Fluidized Systems." In Tenth International Symposium on Chemical Reaction Engineering. Elsevier, 1988. http://dx.doi.org/10.1016/b978-0-08-036969-3.50071-3.

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"Multispecies and Watershed Approaches to Freshwater Fish Conservation." In Multispecies and Watershed Approaches to Freshwater Fish Conservation, edited by Johanna Valente, David Bradsby, Kevin B. Mayes, et al. American Fisheries Society, 2019. http://dx.doi.org/10.47886/9781934874578.ch11.

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<em>Abstract</em>.—Alteration of environmental flows is a growing concern within the conservation community as human demand for water increases. Alteration of the natural flow regime of rivers and streams in Texas has degraded aquatic and riparian habitats and contributed to declines in native fishes and other aquatic taxa. To inform identification and implementation of voluntary environmental flow protection and restoration strategies, conservation partners initiated development of the Environmental Flow Information Toolkit. The Environmental Flow Information Toolkit is being developed as a Web-based geospatial platform that will provide data and information on water use, hydrologic alteration, and environmental flow targets to meet conservation objectives and offer other data layers supported by end-user recommendations and feedback. The Environmental Flow Information Toolkit is expected to increase efficiencies and effectiveness of environmental flow conservation efforts, providing a valuable decision support tool for resource managers, water providers, and conservation organizations facing the challenges of meeting human water demand while conserving Texas’ rich natural heritage.

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Conference papers on the topic "Flow regime identification"

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Lee, Jae Young. "Fuzzy logical flow regime identification for two-phase flow." In The 2015 11th International Conference on Natural Computation. IEEE, 2015. http://dx.doi.org/10.1109/icnc.2015.7378080.

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Sawant, Pravin, Joshua Schelegel, Sidharth Paranjape, Basar Ozar, Takashi Hibiki, and Mamoru Ishii. "Flow Regime Identification in Large Diameter Pipe." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48311.

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Air-water vertical two-phase flow experiments were performed in a 0.15 m diameter and 4.4 m long test section. Superficial liquid velocity was varied from 0.05 m/s to 2.0 m/s and superficial gas velocity was varied to obtain the area averaged void fraction range of 0.1 to 0.7. Exit pressure was close to the atmospheric pressure. In order to study the development of flow structure over the length of test section, area averaged void fraction was measured using impedance meters at four different measuring ports. Pressure drop was also measured between these ports. Since the temporal variation of

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Paranjape, Sidharth, Damian Stefanczyk, Yong Liang, Takashi Hibiki, and Mamoru Ishii. "Global Flow Regime Identification in a Rod Bundle Geometry." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48435.

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Flow regime maps were obtained for an adiabatic air-water two phase flow through a flow channel with 8×8 rod bundle, which simulated a typical rod bundle in a BWR. Impedance void meters were used to measure the area averaged void fraction at various axial locations in the flow channel The Cumulative Probability Distribution Functions (CPDF) of the signals from the impedance meters were fed to a self organizing neural network to identify the flow regimes. The flow regimes were identified at seven axial locations in the channel in order to understand the development of the flow regimes in axial

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Goda, Hiroshi, Seungjin Kim, Ye Mi, Joshua P. Finch, Mamoru Ishii, and Jennifer Uhle. "Flow Regime Identification of Co-Current Downward Two-Phase Flow With Neural Network Approach." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22088.

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Flow regime identification for an adiabatic vertical co-current downward air-water two-phase flow in the 25.4 mm ID and the 50.8 mm ID round tubes was performed by employing an impedance void meter coupled with the neural network classification approach. This approach minimizes the subjective judgment in determining the flow regimes. The signals obtained by an impedance void meter were applied to train the self-organizing neural network to categorize these impedance signals into a certain number of groups. The characteristic parameters set into the neural network classification included the me

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Kreitzer, Paul J., Michael Hanchak, and Larry Byrd. "Flow Regime Identification of Horizontal Two Phase Refrigerant R-134a Flow Using Neural Networks." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62510.

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Flow regime Identification is an integral aspect of modeling two phase flows as most pressure drop and heat transfer correlations rely on a priori knowledge of the flow regime for accurate system predictions. In the current research, two phase R-134a flow is studied in a 7mm adiabatic horizontal tube over a mass flux range of 100–400 kg/m2s between 550–750 kPa. Electric Capacitance Tomography results for 196 test points were analyzed using statistical methods and neural networks. This data provided repeatable normalized permittivity ratio signatures based on the flow distributions. The first f

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Muhamad, I. R., Y. A. Wahab, and S. Saat. "Identification of water/solid flow regime using ultrasonic tomography." In 2012 International Conference on System Engineering and Technology (ICSET). IEEE, 2012. http://dx.doi.org/10.1109/icsengt.2012.6339348.

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O'Donovan, Alan, and Ronan Grimes. "TWO-PHASE FLOW REGIME IDENTIFICATION THROUGH LOCAL TEMPERATURE MAPPING." In Second Thermal and Fluids Engineering Conference. Begellhouse, 2017. http://dx.doi.org/10.1615/tfec2017.emi.018340.

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TAMBOURATZIS, TATIANA, and IMRE PÁZSIT. "NON-INVASIVE ON-LINE TWO-PHASE FLOW REGIME IDENTIFICATION." In Proceedings of the 8th International FLINS Conference. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812799470_0074.

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Paranjape, Sidharth, Susan N. Ritchey, and Suresh V. Garimella. "Impedance-Based Void Fraction Measurement and Flow Regime Identification in Microchannel Flows." In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52116.

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Electrical impedance of a two-phase mixture is a function of void fraction and phase distribution. The difference in the electrical conductance and permittivity of the two phases can be exploited to measure electrical impedance for obtaining void fraction and flow regime characteristics. An electrical impedance meter is constructed for the measurement of void fraction in microchannel two-phase flow. The experiments are conducted in air-water two-phase flow under adiabatic conditions. A transparent acrylic test section of hydraulic diameter 780 micrometer is used in the experimental investigati

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Chenquan Hua, Changming Wang, and Yanfeng Geng. "Flow regime identification for wet gas flow based on WPT and RBFN." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5357662.

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